Enum ImputationOrder 

pub enum ImputationOrder {
    Ascending,
    Descending,
    Roman,
    Arabic,
}

Order in which features are imputed each round, mirroring scikit-learn’s imputation_order (sklearn/impute/_iterative.py:126-134, _get_ordered_idx:504-542). The 'random' variant (which requires a seeded RNG, random_state) is not yet modeled — blocker #1407.

Variants

Ascending

From features with fewest missing values to most (sklearn default, argsort(frac_of_missing, kind="mergesort"), ties keep column order).

Descending

From features with most missing values to fewest (reversed ascending).

Roman

Left to right (column-index order, sklearn 'roman').

Arabic

Right to left (reversed column-index order, sklearn 'arabic').

Trait Implementations

impl Clone for ImputationOrder

fn clone(&self) -> ImputationOrder

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for ImputationOrder

impl Debug for ImputationOrder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Eq for ImputationOrder

impl PartialEq for ImputationOrder

fn eq(&self, other: &ImputationOrder) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ImputationOrder